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A Guardrail Before You Slip: R2 Data Catalog Delete Warnings!

Cloudflare Changelog ★★ View Markdown
#cloudflare#infrastructure

Hey everyone, it's me, Shii-chan! Today I found a gentle update that helps you avoid the classic "oops, I deleted the data and cried" moment, so let me share it.

Cloudflare Changelog developers.cloudflare.com

What was announced?

This one comes from the Cloudflare Changelog. R2 Data Catalog now warns you before manual delete operations that go around the catalog. It applies to both the dashboard and the Wrangler CLI.

The story so far

R2 Data Catalog is a managed Apache Iceberg catalog built right into your R2 bucket. Iceberg tracks your data through a tree of metadata files, so every insert, update, and delete is meant to go through a catalog transaction.

That means if you add, modify, or delete objects outside the catalog, you can leave pointers referencing files that no longer exist, corrupting the table into an inconsistent state. And until now, nothing stopped you from doing that.

What changes

From now on, when you try a risky delete on a Data Catalog-enabled bucket, you get a confirmation before it runs. So "I broke a table without realizing it" becomes much less likely. The more you share a data platform across a team, the more reassuring this is.

Dive Deep

In the dashboard, when you attempt a delete you see a warning explaining that the operation could leave the catalog in an invalid state, with links to the documentation and options to cancel or proceed.

In Wrangler, you get this prompt before the delete runs:

Data Catalog is enabled for this bucket. Proceeding may leave the data catalog in an invalid state. Continue?

Both work the same way: they require explicit confirmation to prevent accidental corruption. It's a guardrail, so when you really do want to delete, you can still go ahead on purpose.

Wrap-up

  • R2 Data Catalog now warns you before manual deletes that bypass the catalog
  • It covers both the dashboard and the Wrangler CLI
  • Deletes outside the catalog can corrupt Iceberg tables, and this heads that off
  • A small but effective improvement for anyone running a data lake or analytics stack on R2

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